Patent application title:

BUILDING AI SMART MANAGEMENT SYSTEM

Publication number:

US20240402668A1

Publication date:
Application number:

18/327,155

Filed date:

2023-06-01

βœ… Patent granted

Patent number:

US 12,572,122 B2

Grant date:

2026-03-10

PCT filing:

-

PCT publication:

-

Examiner:

Michael W Choi

Adjusted expiration:

2044-07-24

Smart Summary: A smart management system for buildings uses a dashboard to help manage various tasks. It includes tools for scheduling, tracking statistics, and processing reports. Users can input data and receive output reports easily. The system can be accessed from both servers and mobile devices. It also connects across different platforms for better usability. πŸš€ TL;DR

Abstract:

A building AI smart management system comprises a dashboard management module, a scheduling dashboard module, a statistics dashboard module, a data input report processing module, a data report output module, and a cross-platform link module, which are located on a server or a mobile device, wherein the server or the mobile device is electrically connected to the monitor.

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Classification:

G05B2219/2642 »  CPC further

Program-control systems; Pc systems; Pc applications Domotique, domestic, home control, automation, smart house

G05B19/042 »  CPC main

Programme-control systems electric; Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors

Description

BACKGROUND OF THE INVENTION

Field of the Invention

The invention relates to a system, and more particularly to a system for building AI smart management.

The Prior Arts

In the property management work of the prior art, property events are managed separately through manual reports, and manual management and maintenance of equipment and meters of buildings are performed. It is not processed by the AI program. Unable to display the effect after integration. The property management work of the prior art is that the staff is small and the work is complicated, and the quality of the service often varies from person to person, and presents an unstable state.

SUMMARY OF THE INVENTION

The invention provides a building AI smart management system, which comprises a dashboard management module located on a server, which comprises an organizational management performance index module, a facility management performance index module, both of which combine at least one measurement index with corresponding evaluation methods, and calculate a score based on the execution results, which is displayed on a monitor; and a cloud smart device monitoring module connected to at least one sensor disposed within a building, which transmits at least one monitoring signal to the cloud smart device monitoring module and displays the monitoring signal on the monitor, wherein the organizational management performance index module, the facility management performance index module, and the cloud smart device monitoring module are respectively electrically connected to the monitor.

The building AI smart management system of the invention may further comprise a scheduling dashboard module located on the server, which allows various schedules within the building's annual management plan to be input through at least one scheduling log, so that an AI program is capable of determining the status of the at least one scheduling log, and displaying a warning on the monitor accordingly, wherein the status of the at least one scheduling log to be determined is whether a schedule is approaching its deadline, or whether a schedule has passed without being executed.

The building AI smart management system of the invention may further comprise a statistics dashboard module located on the server, which displays the statistical frequency of various service events within the building on the monitor, including at least one of: the number of public area maintenance items, counseling orders, social work visits, caring meal deliveries, emergency rescues, property management cares, community visits, and package mail receipts and deliveries.

The building AI smart management system of the invention may further comprise a data input report processing module located on the server, which processes AI smart management information, including a first digital data transmitted by the sensor and a first data generated by the server input, wherein the scope of the first data is clearly defined by manual pre-setting, and is entered daily into at least one database in Google Forms, and the AI program performs statistical analysis, status determination, string search, and corresponding AI domain applications on the at least one database.

The building AI smart management system of the invention may further comprise a data report output module located on the server, which creates a daily log database of the building's on-site management; wherein the AI program uses the string search function to search for keywords in the daily log database, collects the necessary data, and performs related statistical and regression analysis; and a cross-platform link module located on the server, which is a cross-platform AI smart management interface that automatically connects at least one management tool module to manage the data generated by the management tool module.

The invention further provides a building AI smart management system, which comprises a dashboard management module located on a mobile device, which comprises an organizational management performance index module, a facility management performance index module, both of which combine at least one measurement index with corresponding evaluation methods, and calculate a score based on the execution results, which is displayed on a monitor; and a cloud smart device monitoring module connected to at least one sensor disposed within a building, which transmits at least one monitoring signal to the cloud smart device monitoring module and displays the monitoring signal on the monitor, wherein the organizational management performance index module, the facility management performance index module, and the cloud smart device monitoring module are respectively electrically connected to the monitor.

The building AI smart management system of the invention may further comprises a scheduling dashboard module located on the mobile device, which allows various schedules within the building's annual management plan to be input through at least one scheduling log, so that an AI program is capable of determining the status of the at least one scheduling log, and displaying a warning on the monitor accordingly, wherein the status of the at least one scheduling log to be determined is whether a schedule is approaching its deadline, or whether a schedule has passed without being executed.

The building AI smart management system of the invention may further comprise a statistics dashboard module located on the mobile device, which displays the statistical frequency of various service events within the building on the monitor, including at least one of: the number of public area maintenance items, counseling orders, social work visits, caring meal deliveries, emergency rescues, property management cares, community visits, and package mail receipts and deliveries.

The building AI smart management system of the invention may further comprise a data input report processing module located on the mobile device, which processes AI smart management information, including a first digital data transmitted by the sensor and a first data generated by the server input, wherein the scope of the first data is clearly defined by manual pre-setting, and is entered daily into at least one database in Google Forms, and the AI program performs statistical analysis, status determination, string search, and corresponding AI domain applications on the at least one database.

The building AI smart management system of the invention may further comprise a data report output module located on the mobile device, which creates a daily log database of the building's on-site management; wherein the AI program uses the string search function to search for keywords in the daily log database, collects the necessary data, and performs related statistical and regression analysis; and a cross-platform link module located on the server, which is a cross-platform AI smart management interface that automatically connects at least one management tool module to manage the data generated by the management tool module.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention will become more readily apparent to those ordinarily skilled in the art after reviewing the following detailed description and accompanying drawings, in which:

FIG. 1 is a schematic diagram of modules of a server of the building AI smart management system of the present invention.

FIG. 2 is a schematic diagram of modules of a mobile device in the building AI smart management system of the present invention.

FIG. 3 is a schematic diagram of the organizational management performance index module of the dashboard management module of the present invention.

FIG. 4 is a schematic diagram of the facility management performance index module of the dashboard management module of the present invention.

FIG. 5A is a schematic diagram of the cloud smart device monitoring module of the dashboard management module of the present invention.

FIG. 5B is a schematic diagram of the digital signal sent back by the sensor of the present invention including the standby status, voltage value, current value, and power value of the sewage pump or wastewater pump.

FIG. 5C is a schematic diagram of the digital signal sent back by the sensor of the present invention including the current depth of the sewage pool and the wastewater pool in Building A.

FIG. 5D is a schematic diagram of the digital signal sent back by the sensor of the present invention including the current, voltage, and power detected by the water pump, sewage pump, and wastewater pump of Building B, as well as the depth of the water pumping pool and the depth of the sewage pool.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

As shown in FIG. 1, the present invention is a building AI smart management system, a schematic diagram of a module in a server 1. It has a dashboard management module 10, a scheduling dashboard module 20, a statistics dashboard module 30, a data input report processing module 40, a data report output module 50, and a cross-platform link module 60 located in the server 1, wherein the server 1 is connected to a monitor 70.

As shown in FIG. 2, the present invention is a building AI smart management system, a schematic diagram of a module on a mobile device 2. It has a dashboard management module 10, a scheduling dashboard module 20, a statistics dashboard module 30, a data input report processing module 40, a data report output module 50, and a cross-platform link module 60 located in the server 1, wherein the server 1 is connected to a monitor 70.

As shown in FIG. 1, the present invention is a building AI smart management system, which comprises: a building AI smart management system, including: a dashboard management module 10 located in a server 1, the dashboard management module 10 has an organizational management performance index module 11 and a facility management performance index module 12, where at least one measurement index is combined with the corresponding evaluation method to make a scoring result based on the number of execution results, and the scoring result displayed on a monitor 70, and a cloud smart device monitoring module 13, connected to at least one sensor of construction equipment in a building, the sensor returns at least one monitoring signal to the cloud smart device monitoring module 13, and the Monitoring signals are displayed on the monitor 70.

As shown in FIG. 3, the present invention is an AI intelligent management system for buildings, in which the organizational management performance index module 11 uses preset indicators to evaluate the actual score to represent the actual execution performance and evaluation content, such as Table 1:

TABLE 1
Evaluation Execution
Item Metrics method Scenario Scoring Scored Remarks
1 Number of Count Occupational 10 0 occurrence
Occupational Occupational Accident get 10
Accidents Accident Occurrence β—‹ points, one
Occurrence occurrence
2 Number of Statistics of Occurrence of 10 deducts 2
cases of business business points, and
business misappropriation misappropriation the
misappropriation cases β—‹ cases maximum
3 Number of Count the Occurrence of 10 10 points.
labor-management number of labor-management
disputes labor-management disputes β—‹
disputes
4 Number of Statistics of Occurrence of 10
violations of the the number of violations of the
Gender Equality violations of Gender Equality
Act the Gender Act β—‹
Equality Act
5 Number of Statistics of Occurrences of 10
Abnormal the Number of Abnormal
Absences Count Abnormal Absences β—‹
Absences
6 On-site Total β—‹ points/β—‹ 10 10 points for
employee score/number copies of average
satisfaction of statistically statistically satisfaction
survey returned returned above 90, 9
questionnaires questionnaires = for 89~85
average average 84~80 points,
satisfaction satisfaction 8 points, and
Total so on.
7 Acquisition rate protection Licenses 10 0 points for
of property Affairs obtained β—‹ not reached
management management pieces/staff 1, 5 points
professional personnel, fire and on-site for 1, 8
certificates facility supervisors β—‹ points for 2,
managers, 10 points for
equipment 3
safety
management
personnel
(number of
licenses
obtained/total
number of
staff and
on-site
supervisors)
8 Average years Total years of Total β—‹ years of 10 0 points for
of on-site on-site on-site less than 1
supervisors supervisors/ supervisors/On- year, 5 points
Number of site supervisors for 1-3 years,
on-site β—‹ 8 points for
supervisors 3-5 years, 10
points for
more than 5
years
9 Year resignation The number of the resigned β—‹ 10 Calculated in
rate resigned people in the proportion
employees in whole year/
the whole [the β—‹ people at
year/ the beginning of
[the number at the period + Β½
the beginning (the new
of the period + entrants in the
Β½ (the whole year)]
number of new
entrants in the
whole year)]
10 Retention rate 1. On-site number of 5
of on-site supervisor people with
personnel (number of seniority of
people with more than 6
seniority of months in the
more than 6 number of
months in the people at the
number of end of the
people at the period β—‹/
end of the number of
period/number people in 6
of people with months ago β—‹
seniority of
more than 6
months in the
beginning of
the period)
2. On-site the number of 5
administrative people with
personnel (the seniority of
number of more than 6
people with months in the
seniority of number of
more than 6 people at the
months in the end of the
number of period β—‹/the
people at the number of
end of the people 6 months
period/ ago β—‹
number of
people in 6
months ago)
Total Score

Wherein, as shown in FIG. 3, Items represent as Number of Occupational Accidents 301, Number of cases of business misappropriation 302, Number of labor-management disputes 303, Number of violations of the Gender Equality Act 304, Number of Abnormal Absences Count 305, On-site employee satisfaction survey 306, Acquisition rate of property management professional certificates 307, Average years of on-site supervisors 308, Year resignation rate 309, Retention rate of on-site personnel 310.

As shown in FIG. 4, the present invention is an AI intelligent management system for buildings, wherein the facility management performance index module 12 uses preset indicators to evaluate the actual score to represent the actual execution performance and evaluation content, such as Table 2:

TABLE 2
Measuring Evaluation Execution
Item Index Method Description Scoring Scored Remarks
1 Qualification 1. Number of On-site 4
rate of stationed on-site supervisors β—‹
personnel supervisors, persons,
administrative administrative
personnel, and personnel β—‹
cleaning persons,
personnel/ cleaning
number personnel β—‹
required by persons/contract
the contract requirements
β—‹ persons
2. Number of Security 4
security personnel β—‹
personnel/ persons/Contract
Number of requirements
contract β—‹ persons
requirements
2 Correct 1. Number of Registered β—‹ 4
implementation registered pieces/Delivered
rate of mails/Number by the post
community of mails office β—‹ pieces
registered delivered by
letters the post office
2. Number of pieces 3 3 points
lost pieces/ lost/number of are
number of pieces awarded
pieces delivered by for none,
delivered by the post office and 3
the post office β—‹ pieces points are
β—‹ deducted
for one
time.
3 Tenant Total Total β—‹ 5
Survey scores/copies points/β—‹ copies
Satisfaction of statistically of statistically
returned returned
questionnaires = questionnaires =
average average
satisfaction satisfaction
4 Social housing Number of Applicants β—‹/ 4
service cloud applicants/ total tenants β—‹
application rate total number
of tenants
5 Registration of construction establishment 4
public property of property of β—‹
inventory households/
(number of total number of
established households β—‹)
households/
total number
of households)
6 The punctuality The Whether the 4
of pre-planning punctuality of monthly data is
and monthly data delivered on
performance delivery time or not
data yes/no
7 Achievement 1. Elevator Elevator 4
rate of maintenance maintenance β—‹
scheduled times/annual times/annual
maintenance of scheduled scheduled
public facilities maintenance maintenance β—‹
and equipment times times
2. Generator Generator 4
maintenance maintenance β—‹
times/annual times/annual
scheduled scheduled
maintenance maintenance β—‹
times times
8 Qualification 1. Elevator use The effective 4
rate of public license date of the
facilities and elevator use
equipment license:
inspection and (dd/mm)
filing 2. Pass the fire Yes/No 4
inspection pass the fire
report inspection
report
3. Public Public safety 4
security inspection
inspection declaration
declaration is is/is not
qualified qualified
9 Evaluating the electricity public 3 3 points
effectiveness of Last year's Total last for
energy conservation public year's large positive
kwh-this public numbers
year's public electricity and 0
electricity kwh β—‹ kwh-this points for
year's large negative
electricity kwh numbers.
More than
20%
(now-go/go)
should
write a
review
report.
10 Drinking water Inspection and Inspection and 3
tower water test report test report is/is
quality test meets the not in line with
standard value the standard
11 Achievement Pool cleaning Pool cleaning 3
rate of cleaning times/annual β—‹ times/annual
and scheduled scheduled β—‹ times
maintenance times
operations
12 Achievement Implementation Implementation β—‹ 3
rate of vector times/annual times/annual
control scheduled scheduled β—‹ times
times
13 Incidence rate 1. Count the Occurrence β—‹ 3 3 points
of theft number of for none, 3
occurrences points for
one time.
2. Abnormal Abnormal Each
analysis report analysis report report +2
after the theft after the theft
3. Specific Specific Each
improvement improvement report +2
measures measures
14 Fire accident 1. Count the Occurrence β—‹ 4 4 points
rate number of for none, 4
incidents points for
one time.
2. Abnormality Abnormality 2 No
analysis report analysis report report-2
after fire after fire
accident accident
3. Specific Specific 2 No
improvement improvement specific
measures measures improvement-2
15 Fire prevention Drill Drill β—‹ 3
and escape drill times/annual times/annual
rate scheduled scheduled β—‹
times times
16 Occurrence rate 1. Check the Yes/No 5
of other emergency Emergency
emergencies handling handling
(such as: process process table
typhoon, 2. Count the Count the 3 3 points
earthquake, number of occurrence are
elevator failure, occurrences of β—‹times awarded
power failure, for none,
gas leakage) and 3
points are
deducted
for one
time.
3. Abnormal Abnormal +2 for
analysis report analysis report each report
after after
emergency emergency
accident accident
4. Specific Specific Each
improvement improvement report +1
measures measures
17 Agency Five Whether it 5 5 points if
Requirements categories of meets the there is no
service work requirements missing, 1
results of work items point will
be
deducted
for one
item
Cooperate Delay β—‹ times 3 No
with contract missing 3
performance points, 1
and submit point
materials on deduction
time for 1 delay
18 Good Cooperate Number of In addition
neighborliness with times to the
government activities
agencies and stipulated
neighborhood by the
communities agency, 1
to handle point is
activities awarded for
each
additional
activity
hosted
19 The public 1. Major Number of 3 3 points
complains defects occurrences for none, 1
about the point
manufacturer's deducted
service quality for one
time.
2. Occurrence Occurrence 3 3 points
frequency frequency for none,
once a
month on
average, 1
point will
be
deducted;
2 times a
month on
average, 2
points will
be
deducted,
and so on
3. Specific Specific 1 point for
improvement improvement each item
measures measures
Total Score

Wherein, as shown in FIG. 4, Items represent as Qualification rate of stationed personnel 401, Correct implementation rate of community registered letters 402, Tenant Satisfaction Survey 403, Social housing service cloud application rate 404, Registration of public property 405, The punctuality of pre-planning and performance data 406, Achievement rate of scheduled maintenance of public facilities and equipment 407, Qualification rate of public facilities and equipment inspection and filing 408, Evaluating the effectiveness of energy conservation 409, Drinking water tower water quality test 410, Achievement rate of cleaning and maintenance operations 411, Achievement rate of vector control 412, Incidence rate of theft 413, Fire accident rate 414, Fire prevention and escape drill rate 415, Occurrence rate of other emergencies (such as: typhoon, earthquake, elevator failure, power failure, gas leakage) 416, Agency Requirements 417, Good neighborliness 418, The public complains about the manufacturer's service quality 419.

As shown in FIG. 5A, the present invention is an AI intelligent management system for buildings, in which the cloud smart device monitoring module 13 can be connected to the digital signal sent back by the sensor to judge the operation status of the field equipment. As shown in FIG. 5B, for example, the standby status, voltage value, current value, and power value of a sewage pump or wastewater pump in a building. As shown in FIG. 5C, the current depths of the sewage pond and wastewater pond in building A. As shown in FIG. 5D, detected current, voltage, and electric power of the water pumps, sewage pumps, and wastewater pumps in building B. And the depth of the pumping pool and the depth of the sewage pool. As shown in FIG. 5A, Building A 501, Building B 502, WIFI CAMERA 503, LAN CAMERA 504, internet 505, WAN ROUTER 506, intercom 507, Public Switched Telephone Network, PSTN 508, TELEHPON 509, Exchange interface 510, FIBER-OPTIC COMMUNICATION 511.

The present invention is an AI intelligent management system for buildings further comprises a scheduling dashboard module 20, located in the server 1 or the mobile device 2, wherein various schedules in the building site management annual plan are input into the scheduling dashboard module 20 through at least one schedule log, and at least one status of the schedule log can be judged through an AI program, the schedule that is about to expire, or the schedule that is overdue execution of the schedule raises an alert on the monitor 70.

The AI intelligent management system for buildings of the present invention further comprises a statistics dashboard module 30 located on the server 1 or the mobile device 2, wherein the statistics dashboard module 30 displays the statistical frequency of various service events within the building on the monitor 70, including at least one of: the number of public area maintenance items, counseling orders, social work visits, caring meal deliveries, emergency rescues, property management cares, community visits, and package mail receipts and deliveries.

The building AI smart management system of the present invention further comprises a data input report processing module 40, which is located in the server 1 or the mobile device 2, wherein the data input report processing module 40 processes an AI smart management information, including: a first digital data, which is the digital data transmitted by the sensor 80, and a first data, which is the data generated by the input of the server 1, the first data generated by the input of the server 1, wherein the scope of the first data is clearly defined by manual pre-setting, and at least one database is formed by inputting a Google form every day, and the AI program is used to perform statistical analysis of the at least one database, judgment or determination of the status of the at least one database, string search of the at least one database, and corresponding AI domain application.

The building AI smart management system of the present invention further comprises a data report output module 50, located in the server 1 or the mobile device 2, the building A log database is formed from the work logs of the on-site management. Through the word string search function of the AI program, the keywords of the log database are searched, the required data are collected, and relevant statistical analysis and regression analysis are performed.

The building AI smart management system of the present invention further comprises a cross-platform link module 60, located in the server 1 or the mobile device 2, which is a cross-platform AI smart management interface. The platform is connected to at least one management tool module through management automation, so as to manage the data generated by the at least one management tool module.

The above descriptions and descriptions are only descriptions of the preferred embodiments of the present invention. Those who have common knowledge of this technology may make other modifications according to the scope of the patent application defined below and the above descriptions, but these modifications should still be It is for the creative spirit of the present invention and within the scope of rights of the present invention.

Claims

What is claimed is:

1. A building AI smart management system, comprising:

a dashboard management module located on a server, which comprises an organizational management performance index module, a facility management performance index module, both of which combine at least one measurement index with corresponding evaluation methods, and calculate a score based on the execution results, which is displayed on a monitor; and a cloud smart device monitoring module connected to at least one sensor disposed within a building, which transmits at least one monitoring signal to the cloud smart device monitoring module and displays the monitoring signal on the monitor, wherein

the organizational management performance index module, the facility management performance index module, and the cloud smart device monitoring module are respectively electrically connected to the monitor.

2. The building AI smart management system according to claim 1, further comprising:

a scheduling dashboard module located on the server, which allows various schedules within the building's annual management plan to be input through at least one scheduling log, so that an AI program is capable of determining the status of the at least one scheduling log, and displaying a warning on the monitor accordingly, wherein the status of the at least one scheduling log to be determined is whether a schedule is approaching its deadline, or whether a schedule has passed without being executed.

3. The building AI smart management system according to claim 2, further comprising:

a statistics dashboard module located on the server, which displays the statistical frequency of various service events within the building on the monitor, including at least one of: the number of public area maintenance items, counseling orders, social work visits, caring meal deliveries, emergency rescues, property management cares, community visits, and package mail receipts and deliveries.

4. The building AI smart management system according to claim 3, further comprising:

a data input report processing module located on the server, which processes AI smart management information, including a first digital data transmitted by the sensor and a first data generated by the server input, wherein the scope of the first data is clearly defined by manual pre-setting, and is entered daily into at least one database in Google Forms, and the AI program performs statistical analysis, status determination, string search, and corresponding AI domain applications on the at least one database.

5. The building AI smart management system according to claim 4, further comprising:

a data report output module located on the server, which creates a daily log database of the building's on-site management; wherein the AI program uses the string search function to search for keywords in the daily log database, collects the necessary data, and performs related statistical and regression analysis; and

a cross-platform link module located on the server, which is a cross-platform AI smart management interface that automatically connects at least one management tool module to manage the data generated by the management tool module.

6. A building AI smart management system, comprising:

a dashboard management module located on a mobile device, which comprises an organizational management performance index module, a facility management performance index module, both of which combine at least one measurement index with corresponding evaluation methods, and calculate a score based on the execution results, which is displayed on a monitor; and a cloud smart device monitoring module connected to at least one sensor disposed within a building, which transmits at least one monitoring signal to the cloud smart device monitoring module and displays the monitoring signal on the monitor, wherein

the organizational management performance index module, the facility management performance index module, and the cloud smart device monitoring module are respectively electrically connected to the monitor.

7. The building AI smart management system according to claim 6, further comprising:

a scheduling dashboard module located on the mobile device, which allows various schedules within the building's annual management plan to be input through at least one scheduling log, so that an AI program is capable of determining the status of the at least one scheduling log, and displaying a warning on the monitor accordingly, wherein the status of the at least one scheduling log to be determined is whether a schedule is approaching its deadline, or whether a schedule has passed without being executed.

8. The building AI smart management system according to claim 7, further comprising:

a statistics dashboard module located on the mobile device, which displays the statistical frequency of various service events within the building on the monitor, including at least one of: the number of public area maintenance items, counseling orders, social work visits, caring meal deliveries, emergency rescues, property management cares, community visits, and package mail receipts and deliveries.

9. The building AI smart management system according to claim 8, further comprising:

a data input report processing module located on the mobile device, which processes AI smart management information, including a first digital data transmitted by the sensor and a first data generated by the server input, wherein the scope of the first data is clearly defined by manual pre-setting, and is entered daily into at least one database in Google Forms, and the AI program performs statistical analysis, status determination, string search, and corresponding AI domain applications on the at least one database.

10. The building AI smart management system according to claim 9, further comprising:

a data report output module located on the mobile device, which creates a daily log database of the building's on-site management; wherein the AI program uses the string search function to search for keywords in the daily log database, collects the necessary data, and performs related statistical and regression analysis; and

a cross-platform link module located on the server, which is a cross-platform AI smart management interface that automatically connects at least one management tool module to manage the data generated by the management tool module.